Kinder A, Assmann A
Fachbereich Psychologie, Gutenbergstr. 18, Philipps-Universität, D-35032 Marburg, Germany.
Mem Cognit. 2000 Dec;28(8):1321-32. doi: 10.3758/bf03211833.
Two experiments investigated whether there is evidence for acquisition of rules in implicit artificial grammar learning (AGL). Two different methods were used in meeting this goal, multiple regression analysis and analysis of receiver-operating characteristics (ROCs). By means of multiple regression analysis, several types of knowledge were identified that were used in judgments of grammaticality, for example, about single letters and about larger stimulus fragments. There was no evidence for the contribution of rule knowledge. The ROCs were in accord with a similarity-based account of AGL and thus did not support the notion that rule knowledge is acquired in AGL either. Simulations with a connectionist model corroborated the conclusion that the results were in accord with a similarity-based, associative account.
两项实验探究了在隐性人工语法学习（AGL）中是否存在获取规则的证据。为实现这一目标，采用了两种不同的方法，即多元回归分析和接收操作特征（ROC）分析。通过多元回归分析，识别出了几种用于语法性判断的知识类型，例如关于单个字母和较大刺激片段的知识。没有证据表明规则知识有贡献。ROC符合基于相似性的AGL解释，因此也不支持在AGL中获取规则知识的观点。用联结主义模型进行的模拟证实了这一结论，即结果符合基于相似性的联想解释。
